Jobs
WHO YOU’LL WORK WITH
We are the Enterprise Insights & Experience Engineering team at Nike and we provide cutting-edge service management solutions that enable Nike businesses to run their operations efficiently. We use Service Now as our Enterprise Service Management platform. Service Now enables our departments to digitize and automate business processes. We use it for its intuitive, omni-channel user experience with service portals, mobile interface and apps, and chat. We use its AI/ML capabilities with Virtual Agent for automated and prompt user interaction. We make use of its rich analytics features with trends and breakdowns. We also recognize that an effective and efficient digital ecosystem is made up of best-in-breed applications and we make use of Service Now APIs that enable workflows across platforms. We also incorporate GenAI solutions with Service Now to enhance efficiency for business. Service Now is used at Nike for varied use cases - our Retail Store Athletes use the Service Now mobile app to request support on PoS systems promptly; our HR team uses Service Now as a medium for employees to seek HR cases support; our Technology Operations teams uses Service Now to manage incidents, fulfil requests using a service catalog, manage changes and host user facing knowledge articles as well as technical knowledge articles. We also use Performance Analytics to track Key Performance Indicators; our Procurement team uses it to manage purchase requests; our Risk & Compliance team uses it to manage risks; our Retail Partners team has setup a portal using Service Now for retail partners to seek technical support - the list goes on.
WHO WE ARE LOOKING FOR
We’re looking for graduates with around 2 years of experience with the Service Now platform. Ideal candidate will have strong programming skills with exposure to automation frameworks, API-driven development and familiarity with GenAI and Agentic frameworks and good interpersonal skills to collaborate with peers, product managers and business stakeholders. This role does configuration, development, administration and operational support tasks for all aspects of the Service Now platform including standard configuration, security, data management, reporting, integrations with third party applications and environment management while ensuring that data integrity, platform health and best practices are maintained.
WHAT YOU’LL WORK ON
If this is you, you’ll be working with product managers to deliver technical solutions via Agile methodology that solve business problems while supporting the long-term health of the Service Now platform.
You will develop solutions using Service Now functionalities:
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- Design intuitive forms using Form Designer, UI policies
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Build server-side and client-side scripting
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Set up Access Control Lists
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Use Flow Designer to build workflows
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Set up notifications
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Design Service Portals
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Configure Chat
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Setup analytics and reporting
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Integrate with other platforms using APIs
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Author technical knowledge articles
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Participate in Scrum cadences – backlog refinement, sprint planning, retrospectives, stand-ups
You will maintain the platform integrity, security and performance:
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- Apply patches and system upgrades on scheduled basis
- Troubleshoot and remediate functionality related incidents
You will work with a global team of engineers to unlock the potential of data using GenAI solutions.
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About Nike

Nike
PublicNike, Inc. is an American athletic footwear and apparel corporation headquartered near Beaverton, Oregon. It is the world's largest supplier of athletic shoes and apparel and a major manufacturer of sports equipment, with revenue in excess of US$46 billion in its fiscal year 2022.
10,001+
Employees
Beaverton
Headquarters
$200B
Valuation
Reviews
4.2
10 reviews
Work-life balance
4.3
Compensation
3.8
Culture
4.1
Career
3.2
Management
4.0
82%
Recommend to a friend
Pros
Flexible scheduling and work environment
Great learning opportunities
Positive and supportive culture
Cons
Limited career growth opportunities
Office politics
Challenging upward mobility
Salary Ranges
33 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst
2 reports
$134,195
total per year
Base
$116,500
Stock
-
Bonus
-
$131,895
$136,359
Interview experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer rate
25%
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical Assessment
5
Final Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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